MATLAB_PDE

高斯信道下的BPSK信号 对其进行归一化 并求出均值 方差 包络等(Under the Gaussian channel BPSK signals normalized them and obtained such as mean-variance envelope)

学习凸优化的实现方法以及凸优化工具包的内容(Learning the content of convex optimization methods and convex optimization toolkit)

scattering analysis by using Finite Difference Method

说明：  使用PSO优化SVR支持向量机模型的代码，有详细的输出及输出，以及代码说明(Use PSO to optimize SVR support vector machine model code, with detailed output and output, as well as code description)

matlab，初学者入门的编程资料，仅供参考。(matlab, beginner programming information for reference only.)

数据挖掘 《机器学习与数据挖掘：方法与应用》，朱明等译，电子工业出版社(data mining conclude Classification,Estimation,Prediction,Affinity grouping or association rules,Clustering,Description and Visualization,Text, Web ,et al)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

用matlabGUI界面实现了不同方法的功率谱估计(Power spectrum estimation GUI)

海伦公式的学习程序 , matlab程序(Helen formulas learning program, matlab program)

分数延迟FIR滤波器的实现，分别使用了最小二乘法，拉格朗日插值法以及优化加权最小二乘法。(Fractional delay FIR filter implementation, using the least square method, the Lagrange interpolation method and optimization of weighted least squares.)